Research on the Subdivision and Prediction of English Academic Performance of Online Education Students

Abstract

With the continuous progress of science and technology and the acceleration of global informatization, online education, as a new educational model, is gradually becoming an important way for people to learn. How to effectively transform massive learning data into educational benefits is a major challenge facing the development of online education at present. This paper focuses on the students who learn English online, and uses big data and machine learning technology to build a prediction system for each student's English course performance. The system predicts academic performance according to students' individual learning situation, helps teachers to give targeted guidance and improve the overall teaching quality. The results of questionnaire survey show that most students think that the prediction system can accurately predict English academic performance, which is of great help to improve the learning effect. The system has a friendly interface and is easy to operate.